FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning

ArXi:2605.22552v1 Announce Type: new Fashion image retrieval is a cornerstone of modern e-commerce systems. A unified framework that s diverse query formats and search intentions is highly desired in practice. However, existing approaches focus on narrow retrieval tasks and do not fully capture such diversity. Therefore, in this work, we aim to develop a unified framework capable of handling diverse realistic fashion retrieval scenarios, achieving truly versatile fashion image retrieval. To establish a data foundation, we first